ProximaA 1.0 is a 32-billion-parameter open-weight language model built to be a strong all-round security assistant. Trained specifically on cybersecurity data, it is purpose-built for the day-to-day work of a security team: detecting vulnerabilities, validating false positives, verifying patches, writing secure fixes, and reasoning about security. — Size: 32.5B parameters — Context: 4096 tokens — License: Apache-2.0 (see NOTICE) — Built by: Yevhenii Molchanov — Organization: https://github.com/3DCF-Labs — Code & docs: https://github.com/3DCF-Labs/ProximaA — Detect vulnerabilities. Given code, it flags security issues and names the likely class. — Validate false positives. It tells a confirmed issue from scanner noise, and says what evidence is needed to be sure. — Verify patches. It checks that a fix addresses the real cause and suggests regression tests. — Write secure fixes. Given a report or code, it finds the root cause and produces a safe, minimal fix with tests. — Reason and plan. It works through audits, detection rules, and remediation steps. It is trained across web and API security, smart contracts (EVM and non-EVM), supply chain and CI/CD, cloud and infrastructure, and…
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Задача: Генерация текста
Автор: 3DCF-Labs-org
Теги: qwen2, security, cybersecurity, vulnerability-detection, code, defensive-security, conversational, en
Лайков: 3 | Загрузок: 25
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
